Fast visual word quantization via spatial neighborhood boosting. - Ruixin Xu; Miaojing Shi; Bo Geng; Chao Xu 006 (ICME, 2011)

Intelligent parking guidance system based on wireless sensor networks. - Yan Liu; Xiaoping Zou; Miaojing Shi; Guangtao Zhuang (CCIS, 2012)

Exploiting visual word co-occurrence for image retrieval. - Miaojing Shi; Xinghai Sun; Dacheng Tao; Chao Xu 006 (ACM Multimedia, 2012)

C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge. - Miaojing Shi; Guo-Zheng Li 001; Fufeng Li (Sci. China Inf. Sci., 2013)

W-Tree Indexing for Fast Visual Word Generation. - Miaojing Shi; Ruixin Xu; Dacheng Tao; Chao Xu 006 (IEEE Trans. Image Process., 2013)

Saliency oriented object image re-ranking. - Chao Xu 006; Yuan Gao 008; Miaojing Shi (ICECS, 2014)

A Group Testing Framework for Similarity Search in High-dimensional Spaces. - Miaojing Shi; Teddy Furon; Hervé Jégou (ACM Multimedia, 2014)

Early burst detection for memory-efficient image retrieval. - Miaojing Shi; Yannis Avrithis; Hervé Jégou (CVPR, 2015)

Supervised Multi-scale Locality Sensitive Hashing. - Li Weng; I-Hong Jhuo; Miaojing Shi; Meng Sun 001; Wen-Huang Cheng; Laurent Amsaleg (ICMR, 2015)

Exploring Spatial Correlation for Visual Object Retrieval. - Miaojing Shi; Xinghai Sun; Dacheng Tao; Chao Xu 006; George Baciu; Hong Liu 008 (ACM Trans. Intell. Syst. Technol., 2015)

Database Saliency for Fast Image Retrieval. - Yuan Gao 008; Miaojing Shi; Dacheng Tao; Chao Xu 006 (IEEE Trans. Multim., 2015)

Weakly Supervised Object Localization Using Size Estimates. - Miaojing Shi; Vittorio Ferrari (ECCV (5), 2016)

DCT Inspired Feature Transform for Image Retrieval and Reconstruction. - Yunhe Wang 001; Miaojing Shi; Shan You; Chao Xu 006 (IEEE Trans. Image Process., 2016)

Weakly Supervised Object Localization Using Things and Stuff Transfer. - Miaojing Shi; Holger Caesar; Vittorio Ferrari (ICCV, 2017)

Crowd Counting via Scale-Adaptive Convolutional Neural Network. - Lu Zhang; Miaojing Shi; Qiaobo Chen (WACV, 2018)

Perspective-Aware CNN For Crowd Counting. - Miaojing Shi; Zhaohui Yang 003; Chao Xu 006; Qijun Chen (CoRR, 2018)

Point in, Box Out: Beyond Counting Persons in Crowds. - Yuting Liu 004; Miaojing Shi; Qijun Zhao; Xiaofang Wang (CVPR, 2019)

Revisiting Perspective Information for Efficient Crowd Counting. - Miaojing Shi; Zhaohui Yang 003; Chao Xu 006; Qijun Chen (CVPR, 2019)

A Selective Biogeography-Based Optimizer Considering Resource Allocation for Large-Scale Global Optimization. - Meiji Cui; Li Li 008; Miaojing Shi (Comput. Intell. Neurosci., 2019)

Select the potential brand spokesperson on social network based on the smart link prediction. - Nannan Cai; Shugang Li 001; Zhaoxu Yu; Miaojing Shi (J. Intell. Fuzzy Syst., 2019)

Active Crowd Counting with Limited Supervision. - Zhen Zhao; Miaojing Shi; Xiaoxiao Zhao; Li Li 008 (ECCV (20), 2020)

Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer. - Yuting Liu 004; Zheng Wang 007; Miaojing Shi; Shin'ichi Satoh 001; Qijun Zhao; Hongyu Yang (ACM Multimedia, 2020)

Defending Adversarial Examples via DNN Bottleneck Reinforcement. - Wenqing Liu; Miaojing Shi; Teddy Furon; Li Li 008 (ACM Multimedia, 2020)

Restoring Negative Information in Few-Shot Object Detection. - Yukuan Yang; Fangyun Wei; Miaojing Shi; Guoqi Li (NeurIPS, 2020)

Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm. - Shugang Li 001; Xuewei Song; Hanyu Lu; Linyi Zeng; Miaojing Shi; Fang Liu (Expert Syst. Appl., 2020)

Learning to Recommend Items to Wikidata Editors. - Kholoud Alghamdi; Miaojing Shi; Elena Simperl (ISWC, 2021)

Detecting Human-Object Interaction with Mixed Supervision. - Suresh Kirthi Kumaraswamy; Miaojing Shi; Ewa Kijak (WACV, 2021)

Fast Fourier Intrinsic Network. - Yanlin Qian; Miaojing Shi; Joni-Kristian Kämäräinen; Jiri Matas (WACV, 2021)

MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning. - Miao Zhang; Miaojing Shi; Li Li (CoRR, 2021)

Training object detectors from few weakly-labeled and many unlabeled images. - Zhaohui Yang 003; Miaojing Shi; Chao Xu 006; Vittorio Ferrari; Yannis Avrithis (Pattern Recognit., 2021)

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. - Yu Du; Fangyun Wei; Zihe Zhang; Miaojing Shi; Yue Gao; Guoqi Li (CVPR, 2022)

A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Miaojing Shi; Andrew P. King (STACOM@MICCAI, 2022)

Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction. - Zijie Yue; Miaojing Shi; Shuai Ding 001; Shanlin Yang (CoRR, 2022)

Video-based Remote Physiological Measurement via Self-supervised Learning. - Zijie Yue; Miaojing Shi; Shuai Ding 001 (CoRR, 2022)

α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling. - Bicheng Guo; Shuxuan Guo; Miaojing Shi; Peng Cheng 001; Shibo He; Jiming Chen 001; Kaicheng Yu (CoRR, 2022)

Exploring and Eliciting Needs and Preferences from Editors for Wikidata Recommendations. - Kholoud Alghamdi; Miaojing Shi; Elena Simperl (CoRR, 2022)

Discovering regression-detection bi-knowledge transfer for unsupervised cross-domain crowd counting. - Yuting Liu 004; Zheng Wang 007; Miaojing Shi; Shinichi Satoh 001; Qijun Zhao; Hongyu Yang (Neurocomputing, 2022)

MFNet: Multiclass Few-Shot Segmentation Network With Pixel-Wise Metric Learning. - Miao Zhang; Miaojing Shi; Li Li 008 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Dam Reservoir Extraction From Remote Sensing Imagery Using Tailored Metric Learning Strategies. - Arnout van Soesbergen; Zedong Chu; Miaojing Shi; Mark Mulligan (IEEE Trans. Geosci. Remote. Sens., 2022)

Domain-General Crowd Counting in Unseen Scenarios. - Zhipeng Du; Jiankang Deng; Miaojing Shi (AAAI, 2023)

An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Keana Aitcheson; Miaojing Shi; Andrew P. King (CLIP/FAIMI/EPIMI@MICCAI, 2023)

HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation. - Zijian Zhou 002; Miaojing Shi; Holger Caesar (ICCV, 2023)

Machine Learning-Based Automated Grading and Feedback Tools for Programming: A Meta-Analysis. - Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi (ITiCSE (1), 2023)

Text Promptable Surgical Instrument Segmentation with Vision-Language Models. - Zijian Zhou 002; Oluwatosin Alabi; Meng Wei; Tom Vercauteren; Miaojing Shi (NeurIPS, 2023)

LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation. - Linfeng Yuan; Miaojing Shi; Zijie Yue (CoRR, 2023)

When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review. - Maxime Fontana; Michael W. Spratling; Miaojing Shi (CoRR, 2023)

SegMatch: A semi-supervised learning method for surgical instrument segmentation. - Meng Wei; Charlie Budd; Luis C. García-Peraza-Herrera; Reuben Dorent; Miaojing Shi; Tom Vercauteren (CoRR, 2023)

VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation. - Zijian Zhou 002; Miaojing Shi; Holger Caesar (CoRR, 2023)

TreeFormer: A Semi-Supervised Transformer-Based Framework for Tree Counting From a Single High-Resolution Image. - Hamed Amini Amirkolaee; Miaojing Shi; Mark Mulligan (IEEE Trans. Geosci. Remote. Sens., 2023)

Redesigning Multi-Scale Neural Network for Crowd Counting. - Zhipeng Du; Miaojing Shi; Jiankang Deng; Stefanos Zafeiriou (IEEE Trans. Image Process., 2023)

Facial Video-Based Remote Physiological Measurement via Self-Supervised Learning. - Zijie Yue; Miaojing Shi; Shuai Ding 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation. - Xinyue Chen; Yueyi Wang; Yingyue Xu; Miaojing Shi (Auton. Intell. Syst., 2023)

Space-time video super-resolution using long-term temporal feature aggregation. - Kuan-Hao Chen; Zijie Yue; Miaojing Shi (Auton. Intell. Syst., 2023)

Grading Documentation with Machine Learning. - Marcus Messer; Miaojing Shi; Neil C. C. Brown; Michael Kölling (AIED (1), 2024)

Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation. - Zhipeng Du; Miaojing Shi; Jiankang Deng (CVPR, 2024)

LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation. - Linfeng Yuan; Miaojing Shi; Zijie Yue; Qijun Chen (CVPR, 2024)

OpenPSG: Open-Set Panoptic Scene Graph Generation via Large Multimodal Models. - Zijian Zhou 002; Zheng Zhu; Holger Caesar; Miaojing Shi (ECCV (10), 2024)

Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation. - Xinyue Chen; Miaojing Shi (ICME, 2024)

Memory-Based Contrastive Learning with Optimized Sampling for Incremental Few-Shot Semantic Segmentation. - Yuxuan Zhang; Miaojing Shi; Taiyi Su; Hanli Wang (ISCAS, 2024)

AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image. - Hamed Amini Amirkolaee; Miaojing Shi; Lianghua He; Mark Mulligan (CoRR, 2024)

Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning. - Zijian Zhou 002; Miaojing Shi; Meng Wei; Oluwatosin Alabi; Zijie Yue; Tom Vercauteren (CoRR, 2024)

CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery. - Oluwatosin Alabi; Ko Ko Zayar Toe; Zijian Zhou 002; Charlie Budd; Nicholas Raison; Miaojing Shi; Tom Vercauteren (CoRR, 2024)

Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement. - Zijie Yue; Miaojing Shi; Hanli Wang; Shuai Ding 001; Qijun Chen; Shanlin Yang (CoRR, 2024)

An investigation into the causes of race bias in AI-based cine CMR segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Sebastien Roujol; Theodore Barfoot; Shaheim Ogbomo-Harmitt; Miaojing Shi; Andrew P. King (CoRR, 2024)

How Consistent Are Humans When Grading Programming Assignments? - Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi (CoRR, 2024)

Aligning Few-Step Diffusion Models with Dense Reward Difference Learning. - Ziyi Zhang 001; Li Shen 008; Sen Zhang 006; Deheng Ye; Yong Luo 002; Miaojing Shi; Bo Du 001; Dacheng Tao (CoRR, 2024)

SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation. - Shuangping Huang; Hao Liang; Qingfeng Wang; Chulong Zhong; Zijian Zhou 002; Miaojing Shi (CoRR, 2024)

Automated Grading and Feedback Tools for Programming Education: A Systematic Review. - Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi (ACM Trans. Comput. Educ., 2024)

When Multitask Learning Meets Partial Supervision: A Computer Vision Review. - Maxime Fontana; Michael W. Spratling; Miaojing Shi (Proc. IEEE, 2024)

Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter. - Meng Wei; Miaojing Shi; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2024)

Multi-Modal Large Language Model Enhanced Pseudo 3D Perception Framework for Visual Commonsense Reasoning. - Jian Zhu 006; Hanli Wang; Miaojing Shi (IEEE Trans. Circuits Syst. Video Technol., 2024)

Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations. - Yu Du; Miaojing Shi; Fangyun Wei; Guoqi Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. - Xinyue Chen; Miaojing Shi; Zijian Zhou 002; Lianghua He; Sophia Tsoka (AAAI, 2025)

MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving. - Zhiyuan Zhang; Xiaofan Li; Zhihao Xu; Wenjie Peng; Zijian Zhou; Miaojing Shi; Shuangping Huang (CVPR, 2025)

Learning Flow Fields in Attention for Controllable Person Image Generation. - Zijian Zhou; Shikun Liu; Xiao Han; Haozhe Liu; Kam Woh Ng; Tian Xie 003; Yuren Cong; Hang Li; Mengmeng Xu; Juan-Manuel Pérez-Rúa; Aditya Patel; Tao Xiang 002; et al. (CVPR, 2025)

Menagerie: A Dataset of Graded Programming Assignments. - Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi (SIGCSE (2), 2025)

Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization. - Maxime Fontana; Michael W. Spratling; Miaojing Shi (WACV, 2025)

Multitask learning in minimally invasive surgical vision: A review. - Oluwatosin Alabi; Tom Vercauteren; Miaojing Shi (Medical Image Anal., 2025)

Enhancing space-time video super-resolution via spatial-temporal feature interaction. - Zijie Yue; Miaojing Shi (Neural Networks, 2025)

Semantic-DARTS: Elevating Semantic Learning for Mobile Differentiable Architecture Search. - Bicheng Guo; Shibo He; Miaojing Shi; Kaicheng Yu; Jiming Chen 001; Xuemin Shen (IEEE Internet Things J., 2025)

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. - Che Liu; Sibo Cheng; Miaojing Shi; Anand Shah; Wenjia Bai; Rossella Arcucci (IEEE Trans. Medical Imaging, 2025)

Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Miaojing Shi; Andrew P. King (CoRR, 2025)

TRAIL: Transferable Robust Adversarial Images via Latent diffusion. - Yuhao Xue; Zhifei Zhang; Xinyang Jiang; Yifei Shen; Junyao Gao 002; Wentao Gu; Jiale Zhao; Miaojing Shi; Cairong Zhao (CoRR, 2025)

Text-promptable Object Counting via Quantity Awareness Enhancement. - Miaojing Shi; Xiaowen Zhang; Zijie Yue; Yong Luo; Cairong Zhao; Li Li (CoRR, 2025)

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation. - Meng Wei; Charlie Budd; Oluwatosin Alabi; Miaojing Shi; Tom Vercauteren (CoRR, 2025)

Bootstrapping Vision-Language Models for Frequency-Centric Self-Supervised Remote Physiological Measurement. - Zijie Yue; Miaojing Shi; Hanli Wang; Shuai Ding 001; Qijun Chen; Shanlin Yang (Int. J. Comput. Vis., 2025)